1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176
|
/************************************************************************
*
* Copyright (C) 2017-2024 IRCAD France
* Copyright (C) 2017-2020 IHU Strasbourg
*
* This file is part of Sight.
*
* Sight is free software: you can redistribute it and/or modify it under
* the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Sight is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with Sight. If not, see <https://www.gnu.org/licenses/>.
*
***********************************************************************/
// cspell:ignore NOLINTNEXTLINE
#include "image.hpp"
#include "io/opencv/type.hpp"
#include <data/array.hpp>
namespace sight::io::opencv
{
//------------------------------------------------------------------------------
static cv::Mat to_cv(const data::image::csptr& _image, bool _copy)
{
const auto image_type = _image->type();
const auto image_comp = _image->num_components();
const auto cv_type = io::opencv::type::to_cv(image_type, image_comp);
const auto dump_lock = _image->dump_lock();
cv::Mat cv_image;
if(_image->buffer() != nullptr)
{
const auto image_size = _image->size();
std::vector<int> cv_size;
for(std::size_t i = 0 ; i < _image->num_dimensions() ; ++i)
{
cv_size.push_back(static_cast<int>(image_size[i]));
}
if(cv_size.size() == 1)
{
// If we have a single row, we want to initialize the cv::Math with (1, N) since it takes (rows,cols)
cv_size.push_back(1);
}
// Reverse from (w,h,d) to (d,h,w) because OpenCV uses a row major format
std::reverse(cv_size.begin(), cv_size.end());
if(_copy)
{
// NOLINTNEXTLINE(cppcoreguidelines-pro-type-const-cast)
cv::Mat mat = cv::Mat(cv_size, cv_type, const_cast<void*>(_image->buffer()));
cv_image = mat.clone();
}
else
{
// NOLINTNEXTLINE(cppcoreguidelines-pro-type-const-cast)
cv_image = cv::Mat(cv_size, cv_type, const_cast<void*>(_image->buffer()));
}
}
return cv_image;
}
//------------------------------------------------------------------------------
cv::Mat image::move_to_cv(data::image::sptr& _image)
{
return to_cv(_image, false);
}
//------------------------------------------------------------------------------
cv::Mat image::move_to_cv(const data::image::csptr& _image)
{
return to_cv(_image, false);
}
//------------------------------------------------------------------------------
void image::copy_from_cv(data::image& _image, const cv::Mat& _cv_image)
{
const auto prev_image_type = _image.type();
const auto prev_image_comp = _image.num_components();
const auto image_format = io::opencv::type::from_cv(_cv_image.type());
const auto image_type = image_format.first;
const auto image_comp = image_format.second;
SIGHT_ASSERT("Number of components should be between 1 and 4", image_comp >= 1 && image_comp <= 4);
SIGHT_ASSERT("Number of dimension should be between 1 and 3", _cv_image.dims >= 1 && _cv_image.dims <= 3);
data::image::size_t image_size = {0, 0, 0};
if(_cv_image.dims == 1)
{
image_size[0] = std::size_t(_cv_image.size[0]);
}
else if(_cv_image.dims == 2 && _cv_image.rows == 1)
{
// This means this is actually a 1D image so remove the first dimension (==1)
image_size[0] = std::size_t(_cv_image.size[1]);
image_size[1] = 0;
}
else if(_cv_image.dims == 2)
{
image_size[0] = std::size_t(_cv_image.size[1]);
image_size[1] = std::size_t(_cv_image.size[0]);
}
else // 3D
{
image_size[0] = std::size_t(_cv_image.size[2]);
image_size[1] = std::size_t(_cv_image.size[1]);
image_size[2] = std::size_t(_cv_image.size[0]);
}
const auto prev_image_size = _image.size();
if(prev_image_comp != image_comp || prev_image_type != image_type || image_size != prev_image_size)
{
enum data::image::pixel_format_t format = data::image::pixel_format_t::gray_scale;
switch(image_comp)
{
case 1:
format = data::image::pixel_format_t::gray_scale;
break;
case 2:
format = data::image::pixel_format_t::rg;
break;
case 3:
format = data::image::pixel_format_t::rgb;
break;
case 4:
format = data::image::pixel_format_t::rgba;
break;
default:
SIGHT_FATAL("Unhandled OpenCV format");
}
_image.resize(image_size, image_type, format);
}
const auto dump_lock = _image.dump_lock();
SIGHT_ASSERT("Empty image buffer", _image.allocated_size_in_bytes() > 0);
auto buffer = _image.begin<std::uint8_t>();
std::copy(_cv_image.data, _cv_image.data + _image.size_in_bytes(), buffer);
}
//------------------------------------------------------------------------------
cv::Mat image::copy_to_cv(const data::image::csptr& _image)
{
return to_cv(_image, true);
}
//------------------------------------------------------------------------------
} //namespace sight::io::opencv
|